Artificial intelligence scanning endoscopic image sample library management system

Abstract

The invention discloses an artificial intelligence scanning endoscopic image sample library management system, and the system comprises the following modules: an image input module used for collectingendoscope pictures, wherein the visual field of a stomach or intestine endoscope is divided into a plurality of parts according to an official standard, the images acquired from a hospital endoscopesystem are classified in advance through an artificial intelligence system, and the image data is uploaded to a system specified file directory; a login module which is used for evaluating an image after a registered doctor logs in the system to enter a current function menu, and determining whether the picture category is correct or not; a system main control interface which is used for carryingout human-computer interaction and displaying the image; a business function module which comprises an image classification unit, a video library unit, a focus marking unit, a my task unit and a userinformation unit; and a system setting module which is used for managing users and authorities. The system is attractive and friendly in interface, and is flexible and convenient in information query;the system can achieve the intelligent classification of the uploaded image data, and reduces the operation of a doctor, so only final determination is needed.

Description

technical field [0001] The invention relates to the field of medical image sample library collection, in particular to an artificial intelligence scanning endoscopic image sample library management system. Background technique [0002] Medical endoscopy is a commonly used clinical diagnostic tool at present, especially for gastroenterology doctors, they can directly observe the lesions inside the human digestive organs through endoscopy, such as ulcers, tumors, etc., and can even use Endoscopes perform minimally invasive surgical procedures and are widely used in the medical field. Compared with radiology, gastrointestinal endoscopy is the gold standard for screening and diagnosis of gastrointestinal lesions, and it is also the main means of minimally invasive and non-invasive treatment. [0003] Starting with AlphaGo, a Go artificial intelligence program, artificial intelligence began to enter the public's field of vision. The extensive discussion on it worldwide heralds ...

AI Technical Summary

Problems solved by technology

The current method is not conducive to simplifying the operation of doctors and does not have the ability to normalize data processing and conversion, and cannot manage data and provide intelligent data analysis functions according to the scope of application of data.

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